code: def _lwf(X, **kwds):
      """Wrapper for sklearn ledoit wolf covariance estimator"""
      C, _ = ledoit_wolf(X.T, **kwds)
      return C
  
imports: import warnings
  from functools import wraps
  import numpy
  from scipy.linalg import block_diag
  from scipy.stats import chi2
  from sklearn.covariance import oas, ledoit_wolf, fast_mcd
  from .distance import distance_mahalanobis
  from .test import is_square, is_real_type
label_desc: Use image node_id 2 for calling a global function with example usage: _lwf(X) and returns: C